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Design and Evaluation of a VR Training Simulation for Pump Maintenance

Research output: Contribution to book/anthology/report/proceedingConference abstract in proceedingsResearchpeer-review

  • Frederik Winther, Department of Computer Science, Aarhus University, Denmark
  • Linoj Ravindran
  • ,
  • Kasper Paabøl Svendsen, Department of Computer Science, Aarhus University, Denmark
  • Tiare Feuchtner
Through technological advancements more and more companies consider virtual reality (VR) for training of their workforce, in particular for situations that occur rarely, are dangerous, expensive, or very difficult to recreate in the real world. This creates the need for understanding the potentials and limitations of VR training and establish best practices. In pursuit of this, we have developed a VR Training simulation for a use case at Grundfos, in which apprentices learn a sequential maintenance task. We evaluated this simulation in a user study with 36 participants, comparing it to two traditional forms of training (Pairwise Training and Video Training). This case study describes the developed virtual training scenario and discusses design considerations for such VR simulations. The results of our evaluation support that, while VR Training is effective in teaching the procedure for a maintenance task, traditional approaches with hands-on experience still lead to a significantly better outcome.
Original languageEnglish
Title of host publicationCHI EA '20: Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems
Number of pages8
PublisherAssociation for Computing Machinery
Publication year2020
PagesCS16 1-8
ISBN (Electronic)978-1-4503-6819-3
Publication statusPublished - 2020
EventCHI Conference on Human Factors in Computing Systems: CHI 2020 - Hawaiʻi Convention Center, Honolulu, United States
Duration: 25 Apr 202030 Apr 2020


ConferenceCHI Conference on Human Factors in Computing Systems
LocationHawaiʻi Convention Center
LandUnited States

    Research areas

  • Virtual reality, Training, Industrial Manufacturing, Human-centered computing, Human computer interaction, HCI, User studies, Evaluation, case study

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